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  1. The Underdeterministic Framework.Tomasz Wysocki - forthcoming - British Journal for the Philosophy of Science.
    Philosophy and statistics have studied two causal species, deterministic and probabilistic. There's a third species, however, hitherto unanalysed: underdeterministic causal phenomena, which are non-deterministic yet non-probabilistic. Here, I formulate a framework for modelling them. -/- Consider a simple case. If I go out, I may stumble into you but also may miss you. If I don’t go out, we won't meet. I go out. We meet. My going out is a cause of our encounter even if there was no determinate (...)
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  • Counterfactuals as modal conditionals, and their probability.Giuliano Rosella, Tommaso Flaminio & Stefano Bonzio - 2023 - Artificial Intelligence 323 (C):103970.
    In this paper we propose a semantic analysis of Lewis' counterfactuals. By exploiting the structural properties of the recently introduced boolean algebras of conditionals, we show that counterfactuals can be expressed as formal combinations of a conditional object and a normal necessity modal operator. Specifically, we introduce a class of algebras that serve as modal expansions of boolean algebras of conditionals, together with their dual relational structures. Moreover, we show that Lewis' semantics based on sphere models can be reconstructed in (...)
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  • Why Power (Dunamis) Ontology of Causation is Relevant to Managers: Dialogue as an Illustration.Marja-Liisa Kakkuri-Knuuttila - 2023 - Philosophy of Management 22 (3):449-472.
    Since management is about influencing - influencing people who work in the organization, the structure and practices of the organization, as well as its environment - how ‘influencing’ is understood evidently makes a huge difference. The still popular empiricist concept of cause-effect relations as presupposing regularities is mistaken, since it forms no sufficient basis for action in new and unique situations. As alternative notions of causation, the paper discusses the Critical Realist conception of causal powers and the counterfactual conditional view, (...)
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  • Embedding causal team languages into predicate logic.Fausto Barbero & Pietro Galliani - 2022 - Annals of Pure and Applied Logic 173 (10):103159.
  • Characterizing Counterfactuals and Dependencies over (Generalized) Causal Teams.Fausto Barbero & Fan Yang - 2022 - Notre Dame Journal of Formal Logic 63 (3):301-341.
    We analyze the causal-observational languages that were introduced in Barbero and Sandu (2018), which allow discussing interventionist counterfactuals and functional dependencies in a unified framework. In particular, we systematically investigate the expressive power of these languages in causal team semantics, and we provide complete natural deduction calculi for each language. Furthermore, we introduce a generalized semantics which allows representing uncertainty about the causal laws, and we analyze the expressive power and proof theory of the causal-observational languages over this enriched semantics.
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